Triple

T4873027
Position Surface form Disambiguated ID Type / Status
Subject San Antonio International Airport E109130 entity
Predicate FAAcode P420 FINISHED
Object SAT E476687 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SAT | Statement: [San Antonio International Airport, FAAcode, SAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAT
Context triple: [San Antonio International Airport, FAAcode, SAT]
  • A. SAT
    SAT is Mexico’s federal tax administration authority responsible for collecting taxes, overseeing customs, and enforcing fiscal regulations.
  • B. SAT chosen
    SAT is the three-letter IATA airport code for San Antonio International Airport, a major commercial airport serving San Antonio, Texas.
  • C. SAT
    The SAT is a standardized college admissions test widely used in the United States to assess high school students' readiness for undergraduate study.
  • D. UP College Admission Test
    The UP College Admission Test is a highly competitive standardized exam used to select incoming students for the University of the Philippines, the country’s premier public university system.
  • E. GRE
    The GRE (Graduate Record Examination) is a standardized test widely used for admission to graduate and business school programs, assessing verbal reasoning, quantitative reasoning, and analytical writing skills.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d9fa0b08190ab1fc7ec395dca37 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fb5da2c8190aeec7d6d11b12b11 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:27 p.m.